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SiClaw

Open-source AIOps with a hypothesis-driven diagnostic engine

Details

External ID
47293745
Source
HN
Company
—
Product
SiClaw
Website domain
github.com
Launched
March 8, 2026
Cohort
—
Upvotes
9
Upvotes percentile
0.5393603936039361
Tags
—
Fetched at
Sept. 7, 2026, 9:26 p.m.
Updated at
Sept. 7, 2026, 9:26 p.m.

Enrichment

Theme
ML inference and model optimization
Vertical
Horizontal
Function
Observability & eval
Audience
B2B
AI stance
AI feature
Project type
Hobby / open-source project
Normalized one-liner
open-source aiops platform with diagnostic engine
Manually corrected
False

Could you build this?

Partial The UI and agentic diagnostic prompts are vibe-codeable, but integrating real-time telemetry streaming, distributed tracing, and robust root-cause deduction requires deep observability infrastructure.

What it would actually take: Requires ingesting high-throughput OpenTelemetry logs, metrics, and distributed traces into a time-series and columnar database (e.g., ClickHouse). An engine then builds dependency graphs and executes hypothesis testing algorithms across correlated anomalies, which demands deep SRE domain knowledge and distributed systems engineering.

Discussion

2 comments analyzed.

Concerns raised: LLMs lack creativity, generate similar converging ideas, Model orchestration focus overshadows harder infrastructure problems

Competitors

Other products that read as similar to this one — 1689 launches clear the similarity bar, closest 8 shown.

Attention rank: #708 of 1690 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 130 days after the earliest competitor.

Other launches for this product

Same idea, different domain

Nobody's really built a observability & eval tool for Media & entertainment yet.